Sneha Ravi Chandran
About Sneha Ravi Chandran
Sneha Ravi Chandran is a Data Scientist II at Credit One Bank, specializing in Enterprise Data Strategy and Governance. She has a strong background in data analysis and automation, with previous roles at Northern Illinois University and Brillio.
Work at Credit One Bank
Currently, Sneha Ravi Chandran serves as a Data Scientist II in the Enterprise Data Strategy & Governance team at Credit One Bank. She has been in this role since 2020, contributing to various data management and strategy initiatives. Her responsibilities include automating SQL scripts and SSIS packages to enhance campaign data quality management. She previously held an internship as a Data Analyst Intern in the same department at Credit One Bank, where she gained foundational experience in data analysis and governance.
Education and Expertise
Sneha Ravi Chandran holds a Master's degree in Computer Science from Northern Illinois University, which she completed from 2018 to 2020. She also earned a Bachelor of Engineering in Computer Science and Engineering from Anna University, studying from 2010 to 2014. Her educational background is complemented by her higher secondary education at Akshayah Matriculation Higher Secondary School, where she focused on Physics, Chemistry, Mathematics, and Computer Science.
Background
Before her current role, Sneha worked at Northern Illinois University as a Graduate Research and Teaching Assistant for 11 months in 2019, where she supported academic research and assisted in teaching. She also served as an IT Support Associate at the same institution for 4 months. Her early career included a position as a Software Engineer at Brillio and as an Application Development Analyst at Accenture, both in Bengaluru, India.
Achievements in Data Management
Sneha has automated over 30 SQL scripts and SSIS packages, significantly optimizing processes related to campaign data quality management. She has collaborated with business stakeholders and IT production teams to analyze anomalies in data validation processes for various strategic implementations. Her work includes conducting forensic analysis to trace customer data flows and standardizing the Data Dictionary process to improve metadata accuracy across the organization.
Technical Skills and Contributions
In her role, Sneha performs in-depth analysis using Python to identify risk patterns and outliers, which has been instrumental in fraud strategy and credit card origination efforts. Her analysis has accounted for approximately 60% of reported anomalies, which have been addressed through her contributions. She has also worked on rearchitecting data flows to identify gaps and build models aimed at mitigating fraud risks.